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《Agriculture Network Information》 2010-08
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Research on Automatic Concept Extraction for Tea Domain Ontology

XU Jicheng,LI Shaowen,ZHANG Youhua,GU Lichuan(School of Information and Computer Science Anhui Agricultural University,Hefei 230036)  
Aimed at reducing the time and labor required in current manual ontology construction,an automatic method of extracting ontology concept was proposed in this paper,based on the knowledge of tea domain.Firstly,tea domain corpus was processed by Chinese word segmentation,and the set of candidate concepts(compound words) was obtained by mutual information technology,and then the ontology concepts of tea domain were automatically extracted by judging the domain coherence of the candidate concepts.Experiment was performed by related prototype system,and the results proved that the method was effective.
【Fund】: 国家863计划项目“农业知识网格的构建及关键技术研究”(编号2006AA10Z249)
【CateGory Index】: TP391.1
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【Citations】
Chinese Journal Full-text Database 4 Hits
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【Co-citations】
Chinese Journal Full-text Database 4 Hits
1 FU Ji-bin1,2,FAN Xiao-zhong2,MAO Jin-tao2,YU Zheng-tao3(1.College of Computer and Information Engineering,Henan University of Finance and Economics,Zhengzhou, He'nan 450002,China;2.School of Computer Science and Technology,Beijing Institute of Technology, Beijing 100081,China; 3.School of Information Engineering and Automation,Kunming University of Science and Technology,Kunming,Yunnan 650051,China);An Algorithm of Chinese Domain Term Extraction Based on Language Feature[J];Transactions of Beijing Institute of Technology;2010-03
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Chinese Journal Full-text Database 10 Hits
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